swinv2-small-patch4-window8-256-finetuned-eurosat
This model is a fine-tuned version of microsoft/swinv2-small-patch4-window8-256 on the food101 dataset. It achieves the following results on the evaluation set:
- Loss: 0.4063
- Accuracy: 0.8847
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.3521 | 1.0 | 592 | 0.7233 | 0.7967 |
| 0.9887 | 2.0 | 1184 | 0.5211 | 0.8519 |
| 0.845 | 3.0 | 1776 | 0.4063 | 0.8847 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
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Model tree for lu5/swinv2-small-patch4-window8-256-finetuned-eurosat
Base model
microsoft/swinv2-small-patch4-window8-256